Artificial neural networks

Results: 1630



#Item
941ARTIFICIAL NEURAL NETWORKS AND CRIME MAPPING by Andreas M. Olligschlaeger Carnegie Mellon University

ARTIFICIAL NEURAL NETWORKS AND CRIME MAPPING by Andreas M. Olligschlaeger Carnegie Mellon University

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Source URL: www.popcenter.org

Language: English - Date: 2008-01-24 11:26:26
942Neural Systems and Artificial Life Group, Institute of Psychology, National Research Council, Rome Evolving Modular Architectures for Neural Networks

Neural Systems and Artificial Life Group, Institute of Psychology, National Research Council, Rome Evolving Modular Architectures for Neural Networks

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Source URL: laral.istc.cnr.it

Language: English - Date: 2013-07-02 08:15:26
943Intersection Delay Estimation from Floating Car Data via Stacked Generalization: A Case Study on Beijing’s Road Networks Xiliang Liu, Feng Lu, Hengcai Zhang State Key Lab of Resources and Environmental Information Syst

Intersection Delay Estimation from Floating Car Data via Stacked Generalization: A Case Study on Beijing’s Road Networks Xiliang Liu, Feng Lu, Hengcai Zhang State Key Lab of Resources and Environmental Information Syst

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Source URL: ceur-ws.org

Language: English - Date: 2014-04-04 07:27:14
944Methods and Applications for Distance Based ANN Training Christoph Lassner, Rainer Lienhart Multimedia Computing and Computer Vision Lab Augsburg University, Universit¨atsstr. 6a, 86159 Augsburg, Germany Email: {christo

Methods and Applications for Distance Based ANN Training Christoph Lassner, Rainer Lienhart Multimedia Computing and Computer Vision Lab Augsburg University, Universit¨atsstr. 6a, 86159 Augsburg, Germany Email: {christo

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Source URL: www.multimedia-computing.de

Language: English - Date: 2013-12-13 13:30:03
945Essence of a neural net approach to discerning ML patterns 1. First period (mid 1980s) First used in databases to `reduce’ the number of dimensions in complex multi-dimensional situations

Essence of a neural net approach to discerning ML patterns 1. First period (mid 1980s) First used in databases to `reduce’ the number of dimensions in complex multi-dimensional situations

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Source URL: aic.gov.au

Language: English - Date: 2009-06-09 04:44:24
946Commentary part 6: Operational Imperatives and Technology

Commentary part 6: Operational Imperatives and Technology

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Source URL: www.aic.gov.au

Language: English - Date: 2009-06-09 04:44:24
947Application of Artificial Neural Network to Fire Risk Assessment Student : Eric Wai Ming LEE Supervisor : Dr. Richard K.K. YUEN Programme : Doctor of Philosophy Department of Building and Construction, City University of

Application of Artificial Neural Network to Fire Risk Assessment Student : Eric Wai Ming LEE Supervisor : Dr. Richard K.K. YUEN Programme : Doctor of Philosophy Department of Building and Construction, City University of

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Source URL: www.sgs.cityu.edu.hk

Language: English - Date: 2004-01-08 09:10:40
948Xinhua Zhang Senior Researcher Machine Learning Group, National ICT Australia (NICTA) Postal: Locked Bag 8001, Canberra, ACT 2601, AU Office: Tower A, 7 London CCT, Canberra, ACT 2601, AU Permanent Resident: Australia an

Xinhua Zhang Senior Researcher Machine Learning Group, National ICT Australia (NICTA) Postal: Locked Bag 8001, Canberra, ACT 2601, AU Office: Tower A, 7 London CCT, Canberra, ACT 2601, AU Permanent Resident: Australia an

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2015-01-18 23:26:04
949Learning with Recursive Perceptual Representations  Oriol Vinyals UC Berkeley Berkeley, CA

Learning with Recursive Perceptual Representations Oriol Vinyals UC Berkeley Berkeley, CA

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2013-10-18 17:47:40
950Deformable Part Models are Convolutional Neural Networks Tech report Ross Girshick Forrest Iandola Trevor Darrell UC Berkeley

Deformable Part Models are Convolutional Neural Networks Tech report Ross Girshick Forrest Iandola Trevor Darrell UC Berkeley

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Source URL: arxiv.org

Language: English - Date: 2014-10-01 20:32:18